MANIFEST.in

# setup.py reads every dependency list at BUILD time via
# get_requirements("requirements/<name>.txt") (install_requires + each extra,
# including [sparse]). Those files are not Python modules, so find_packages()
# never collects them and they were absent from the sdist — building/installing
# from the sdist (`pip install angelslim-*.tar.gz`) then died with
# `FileNotFoundError: requirements/requirements.txt` before any dependency
# resolved. Graft the directory so the lists travel in the sdist too.
graft requirements

# Ship the vendored MInference CUDA index-extension sources + attribution in the
# sdist as well as the wheel. The `minference` sparse variant JIT-compiles these
# at runtime via torch.utils.cpp_extension.load, so they must be packaged;
# find_packages() / package_data only covers the wheel.
recursive-include angelslim/compressor/sparsity/algorithms/minference/kernels/csrc *.cpp *.cu *.h
include angelslim/compressor/sparsity/algorithms/minference/kernels/NOTICE

# sdist parity with the wheel's package_data — every sparse algorithm's
# license/attribution NOTICE (and vecattention's autotune .pkl caches) must travel
# in the sdist too, not only the wheel. Without these the sdist would ship sparse
# code with no attribution trail (and vecattention's tuned launch configs absent).
include angelslim/compressor/sparsity/algorithms/flexprefill/kernels/NOTICE
include angelslim/compressor/sparsity/algorithms/xattention/kernels/NOTICE
include angelslim/compressor/sparsity/algorithms/flashprefill/NOTICE
include angelslim/compressor/sparsity/algorithms/vecattention/NOTICE
recursive-include angelslim/compressor/sparsity/algorithms/vecattention/ops/cache *.pkl